Data Engineer

We are looking for a Data Engineer to join a fast-paced IT consulting environment in Atlanta, Georgia. In this role, you will design and optimize modern data solutions that support analytics, machine learning, and business decision-making across a variety of client initiatives. The ideal candidate brings strong technical depth in cloud-based data engineering along with a practical, solution-oriented mindset. This position is well suited for someone who enjoys turning complex data challenges into scalable and reliable platforms.Responsibilities:• Build and maintain robust data pipelines that move, transform, and prepare information for reporting, analytics, and operational use.• Design end-to-end data solutions within Azure-based environments, using the right services and frameworks to support performance, reliability, and scale.• Develop engineering workflows with Python and PySpark to process both structured datasets and more complex unstructured sources.• Create and support data architecture components in Microsoft Fabric, Databricks, and related platforms to enable efficient data access and delivery.• Implement pipeline orchestration and workflow automation through Databricks tools to streamline recurring data operations.• Support machine learning initiatives by preparing high-quality datasets and building pipelines that feed model development and deployment processes.• Apply sound data management practices to ensure consistency, usability, and governance across data assets.• Work within Azure DevOps-driven delivery environments to contribute to version control, deployment processes, and collaborative engineering practices.• Partner with stakeholders to understand business objectives, translate requirements into technical solutions, and deliver strong client-focused outcomes.